{"id":"W3097376167","doi":"","title":"建设粤港澳大湾区创新产业集群的机遇与挑战（Building the Innovation-driven Industrial Cluster in the Greater Bay Area: Opportunities and Challenges）","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Bay; Metropolitan area; Development plan; Geography; Economic geography; Business; Regional science; Civil engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008194099,0.0002835001,0.000224195,0.0007715928,0.004069471,0.005371814,0.0008825967,0.0006208736,0.01086645],"category_scores_gemma":[0.001099,0.0002197813,0.0003614849,0.002039537,0.004202374,0.004268447,0.002722654,0.001082447,0.001048515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006935229,"about_ca_system_score_gemma":0.01192237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04211022,"about_ca_topic_score_gemma":0.05250963,"domain_scores_codex":[0.9995419,0.00008468644,0.00001823825,0.0001056072,0.00008559282,0.0001640913],"domain_scores_gemma":[0.9994214,0.000087559,0.00006966578,0.00003307375,0.0001338688,0.000254391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002139361,0.0001404737,0.04049798,0.0007749097,0.00005728757,0.001311332,0.04955702,0.006125994,0.002715976,0.7744995,0.02578239,0.09832321],"study_design_scores_gemma":[0.0001346418,0.0002380041,0.1296134,0.0005869316,0.0001333538,0.0004947808,0.1456737,0.0126463,0.004548102,0.2012029,0.5045821,0.0001458194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6017171,0.003566977,0.01750413,0.02901001,0.0003832254,0.0003692618,0.0003351266,0.0002456757,0.3468685],"genre_scores_gemma":[0.935181,0.001817487,0.003067178,0.000352129,0.00006859216,0.000106078,0.0001159502,0.00003162317,0.05926001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04211022,"threshold_uncertainty_score":0.08373022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090651034575598,"score_gpt":0.2675527574921787,"score_spread":0.1584876540346189,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}